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Descripción
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| For several remote sensing applications, as assessment of natural resources, urban changing detection, agriculture management among others, images with high spatial and spectral quality simultaneously, are requiered; however, the current optical remote sensing sensors only provide image with a inverse trade-off between them. That is images with high spatial resolution and poor spectral resolution or viceversa. The fusion image strategies are a good solution to obtain a synthetic image with high spatial and spectral characteristics simultaneously. Some of them are based on the Wavelet Transform, computed by means of the à trous algorithm (TWA). In the method proposed in, the spatial information integrated in the fused image is weighted from the optimization of the trade off between the spatial and spectral quality of the fused images. The main problem of this methodology is that an unique weighting factor for the whole image is computed, being also necessary to have indices, that separately measure the spectral and spatial quality of the fused images. In this work, a new strategy to determine a local weighting factor (for each panchromatic pixel) by means the fractal map, using box-countingalgorithm, is proposed in order to avoid the previous discussed problem. | |
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Internacional
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Si |
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DOI
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DOI: 10.3233/978-1-58603-986-8-232 |
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Edición del Libro
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1 |
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Editorial del Libro
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Millpress |
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ISBN
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9789059660618 |
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Serie
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Título del Libro
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Remote Sensing for a Changing Europe |
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Desde página
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232 |
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Hasta página
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238 |